Job Title: Data Analyst (4 Vacancies)
Competition #: 25-0028
Dept / Campus: Canadian Institute for Safety, Wellness & Performance /Cambridge
Salary Range: Payband 10; Range $85,529 – $106,911
37.5 hours/week
Posting Date: February 10, 2025
Closing Date: March 4, 2025
Vacancy Type: Administrative Full-time New Positions
The Canadian Institute for Safety, Wellness & Performance (CISWP)’s mission is to improve the safety,
wellness, and performance of the Canadian labour force by generating knowledge, transferring research
to practice, and strengthening workforce development – all in collaboration with stakeholders. CISWP
adopts a transdisciplinary and collaborative approach to build capacity for productive and sustainable
work. CISWP has state-of-the-art research infrastructure within two major applied research labs and
mobile labs equipped with a variety of dedicated field-based and lab-based ergonomic, health and safety,
human performance measurement systems, and a full body photogrammetric anthropometry system. The
labs are named for their research mandate: START – Skilled Trades Applied Research and Training, and
STRIDE – Skilled Trades Research in Inclusivity, Diversity, and Equity.
Successful candidates will be required to conduct work within Ontario and must be available to work on
campus as required. It is anticipated that this position will meet the needs of the department through a
hybrid work arrangement, Monday to Friday, 8:30 am – 4:30 pm, with four days on-site at the Conestoga
Skilled Trades campus, located at 25 Reuter Dr. in Cambridge and one day remote.
RESPONSIBILITIES:
1. Data analysis and modeling
o Analyze primary or secondary data, including biosignals such as EMG (electromyography), ECG
(electrocardiography), and motion capture data to assess physical activity, muscle function, and
physiological responses
o Perform statistical analysis to identify trends, patterns, and correlations in the data
o Develop predictive models to forecast injury risks and outcomes based on biosignal and injury data
o Combine biosignal data with other data sources (e.g., environmental, ergonomic) to provide
comprehensive insights into occupational health risks
o Develop and refine algorithms for processing and analyzing complex datasets, including biosignals
and injury statistics
2. Data management and quality assurance
o Gather, organize, and maintain large datasets
o Ensure data quality by cleaning and preprocessing data for analysis
o Develop and maintain databases to ensure data integrity, confidentiality, and security
o Implement and oversee quality assurance processes ensuring data accuracy and reliability
o Integrate data from various sources, including wearable devices, electronic health records, and
environmental sensors, to create a comprehensive dataset for analysis
3. Reporting and communication
o Create visual representations of data findings using tools like Tableau, Power BI, or custom scripts
in R and Python
o Prepare detailed reports and presentations to communicate findings to partners
o Contribute to academic publications and presentations by providing detailed statistical analysis
and interpretations of biosignal and injury data
o Assist in writing grant proposals by providing data-driven insights and justifications for research
funding
o Engage with stakeholders, including industry partners, regulatory bodies, and academic
institutions, to share findings and collaborate on research initiatives
4. Expertise and collaboration
o Serve as a subject matter expert for data analysis within the team
o Provide guidance on best practices, advanced analytical techniques, and the latest industry trends
o Mentor Junior Analysts and Researchers and contribute to the development of analytical
methodologies and protocols
o Work with Researchers and Engineers to understand data needs and provide analytical support
o Assist in designing and conducting research studies, including developing hypotheses and
methodologies
o Provide training to team members on data analysis tools, techniques, and best practices
o Ensure all data handling and analysis comply with ethical standards and regulations
o Stay updated with the latest tools, techniques, and trends in data analysis and occupational health
research
o Stay abreast of the latest advancements in data analysis, occupational health, and biomechanics,
and apply innovative approaches to research projects
QUALIFICATIONS:
* Master’s degree in Occupational Epidemiology, Data Science, Biostatistics, Occupational
Biomechanics, Public Health or a related field of study is required
* Three years of relevant experience analyzing large data sets as a Data Analyst is required
* Experience with machine learning and predictive modelling is preferred
* Proficiency in the use of standard computer software applications such as Microsoft Office
* Experience in statistical software applications such as R, SPSS or SAS
* Understanding of research design, methods and statistical analysis
* Ability to apply statistical modelling for occupational data
* Experience in the use of signal processing software (e.g., MATLAB)
* Understanding of descriptive and inferential statistics
* Comprehensive report writing, presentation and facilitation skills
* Strong analytical and problem-solving skills and ability to communicate and collaborate
* Knowledge of data privacy regulations and ethical considerations in handling biometric data
* Ability to work independently and manage multiple projects
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